Studies of concussive events have shown that the response of the brain during an impact may not be the most reliable predictor of concussion, since the injury may be more closely related to the forces affecting the brainstem. A laboratory crash test protocol was developed to simulate player-to-player collisions in contact sports using crash test dummies and the impact forces on the dummy head were calculated.
Quality control in manufacturing can be a challenge. While many use AR (Augmented Reality) to reduce error in training processes or to assist with the assembly process, this research will introduce AR as a means of performing quality checks while the worker is assembling, thus allowing him or her to do two jobs at once. DAQRI will be used as a smart visor/helmet to provide visual cues to the worker, eliminating the need to check a status screen for updates, as well as identifying any assembly errors and providing a means to fix the problem.
Considering the soot-free burning characteristics of DME/OME fuel, highly diluted intake charge can be introduced in order to realize ultra-low nitrogen oxides emissions. However, the ignition process of the highly diluted fuel/air mixture is difficult, and an unstable ignition process is detrimental to fuel efficiency and engine performance. In this project, innovative ignition systems including a multi-site ignition system. and volumetric ignition system, together with novel ignition strategies will be developed.
High concentrations of phosphate in the waterways cause algae blooms which are detrimental to water quality and fish habitat. The research project conducted by the Department of Chemistry & Biochemistry and the Upper Thames River Conservation authority, is attempting to alleviate this problem by chemically altering sawdust so that it can act as a phosphate filter thus removing excess amounts of phosphate. This filtration system is being tested with phosphate-rich wastewater produced from manure at a truck wash operation in the Upper Thames river basin.
Sitting can become particularly problematic when individuals remain in a fixed position for a prolonged period of time. Pressure can develop in the areas of the body that are compressed by the seat, which can lead to a significant reduction in blood flow to the surrounding tissues. As a result, seat adjustability becomes necessary for the maintenance of good health since movement would help relieve pressure from areas of the body compressed by the seat. Using subjective and objective measures of comfort, a fully adjustable manual and new autonomous seating concept will be compared.
This work focuses on generation a framework to employ a set of 3D coordinates, as the input dataset to the model, and generate the 3D heat map based on the 3D shape. The generated 3D heatmap aims to define the most probable areas for fault categories on the 3D surface. To develop such a system, the 3D shape is printed and the 3D coordinates of simulated faults are recorded using a tool tracker. Then, a machine learning platform is employed to use the 3D fault datasets as the input and produce the probabilities of different fault categories on the given location.
Air-core dry-type electrical reactors are integrated into power system infrastructures to limit current and regulate voltage in transmission lines. These reactors, are designed and built to facilitate customer specific requirements using an elementary noise prediction model, which was developed almost 30 years ago. With increasingly stricter noise emission guidelines set by the environmental regulatory bodies, the need to better predict and meet specific noise requirements has become more important to the design and manufacturing of the reactors.
Many office and institutional buildings use concrete masonry walls as their loadbearing elements. They are required to withstand loads coming from their roof structures and also caused by wind and seismic events. This research project will determine the suitability of such masonry walls when subjected to these loads. Further, this project will research to improve the performance of these walls by introducing various new structural and construction details. The goal of this research will be accomplished through experimental and computer modeling techniques.
Cyber-physical systems or Industrial Internet of Things (IIoT) applications are more advanced than commercial IoT devices/applications mainly because of the prevalence of connected sensors and embedded systems in the industrial world. The objective of this project is to develop and package a low range, low power (LoRa Technology) remote asset monitoring and control system for remote fixed utility IIoT applications.
The goal of this project is to provide evidence of validity for two newly developed measures of quality of life; one for hidradenitis suppurativa (HS) and one for acne. Both HS and acne negatively impact quality of life; however, to date, there are no disease-specific, patient-centered quality of life measures. The results of this project will provide healthcare professionals with tools to assess the impact of these conditions and their treatments (HS and acne) on patients quality of life.